ZipRecruiter

Log In

1

Quantitative Researcher Intern Jobs in Texas (NOW HIRING)

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site +1

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

IntegraFEC

(FALL) Research Analyst Intern

Austin, TX · On-site

(FALL) Research Analyst Intern Austin, Texas Integra's mission is to restore integrity to the ... Integra is looking for a research analyst to partner with quantitative analysts to develop and ...

next page

Showing results 1-20

All JobsQuantitative Researcher Intern JobsQuantitative Researcher Intern Jobs in Texas

Quantitative Researcher Intern information

What is the difference between Quantitative Researcher Intern vs Quantitative Analyst Intern?

AspectQuantitative Researcher InternQuantitative Analyst Intern
Required CredentialsTypically pursuing or holding a degree in finance, economics, mathematics, or related fieldsSimilar educational background, often with a focus on finance or data analysis
Work EnvironmentResearch-focused, often in financial firms, hedge funds, or asset management companiesData analysis and modeling in financial institutions, investment banks, or asset managers
Employer & Industry UsageCommonly used in quantitative finance, hedge funds, and trading firmsWidely used in finance, banking, and investment sectors

Both roles involve working with data and financial models, but Quantitative Researcher Interns focus more on developing new strategies and models, while Quantitative Analyst Interns typically analyze existing data to support trading decisions. The roles often overlap in skills and industry, but differ slightly in focus and responsibilities.

What does a quantitative researcher intern do?

A Quantitative Researcher Intern typically works with data analysis, statistical modeling, and algorithm development to support trading or investment strategies in finance and technology firms. They collaborate with experienced researchers to collect data, run simulations, and test hypotheses using programming languages like Python, R, or MATLAB. The role often involves applying mathematical and statistical techniques to solve real-world problems and gain actionable insights. Interns gain hands-on experience in quantitative research while contributing to the team’s projects and learning about the industry.

What are the key skills and qualifications needed to thrive as a quantitative researcher intern?

To thrive as a Quantitative Researcher Intern, you need strong analytical skills, a solid background in mathematics or statistics, and progress toward a relevant degree such as in math, physics, computer science, or engineering. Familiarity with programming languages like Python, R, or MATLAB, and experience using statistical analysis software are typically required. Critical thinking, problem-solving ability, and effective communication skills help you interpret data and collaborate with team members. These capabilities are essential for analyzing complex datasets, generating actionable insights, and contributing effectively to research projects.

What does a typical project look like for a quantitative researcher intern, and how much autonomy can I expect?

As a Quantitative Researcher Intern, you will usually work on data-driven research projects that involve formulating hypotheses, developing models, and analyzing large datasets to identify trends or inefficiencies in financial markets. While you'll receive guidance and mentorship from experienced researchers, interns are often encouraged to take ownership of their projects, contribute ideas, and present findings. Collaboration with other interns, software engineers, and traders is common, promoting both learning and impact. The level of autonomy depends on your experience and the firm's structure, but proactive interns often find opportunities to drive meaningful research.
What are the most commonly searched types of Quantitative Researcher jobs in Texas? The most popular types of Quantitative Researcher jobs in Texas are:
What are popular job titles related to Quantitative Researcher Intern jobs in Texas? For Quantitative Researcher Intern jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Quantitative Researcher Intern jobs in Texas look for? The top searched job categories for Quantitative Researcher Intern jobs in Texas are:
What cities in Texas are hiring for Quantitative Researcher Intern jobs? Cities in Texas with the most Quantitative Researcher Intern job openings:
Quantitative Researcher Intern jobs near you
Infographic showing various Quantitative Researcher Intern job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution.

Quantitative Researcher Intern

VWH Capital Management, LP

Dallas, TX • On-site

Full-time

Re-posted 3 days ago

Job description

Company Description
VWH Capital Management, LP ("VWH") is an SEC-registered investment advisor and private equity firm with multi-billion dollars in assets under management. The firm is the winner of three 2025 Private Equity Wire Awards including Performance of the Year: Distressed Debt over $500 million. VWH is a major player in the U.S. distressed residential mortgage loan space and seeks to generate long-term returns in securitized products, distressed credit, and whole loans. VWH is headquartered in Dallas. For more information visit www.vwhcapital.com.
Job Description
VWH is seeking to hire a Quantitative Research Intern to work with the firm's analytics and investment team. This role will work closely with key stakeholders and contribute to the continued growth and success of VWH's residential mortgage and securities business as well as new opportunities and strategies. Ultimately, a successful candidate will be considered for full-time employment upon completion of their internship and degree.
Responsibilities
• Conduct empirical analysis on residential mortgage performance including prepayment, default, loss severity and transition matrix based on large scale of loan level data
• Develop a full spectrum of statistical models including prepayment, default, loss severity and multi-step transition models to analyze loan performance
• Conduct full-scale backtests including in-sample and out-of-sample tests for models developed
• Coordinate with the analytics team to implement statistical models and apply to investment decision making
• Assist in exploring models for new investment products
• Communicate to senior management on model attributes, performance, forecasts and risk/valuation implications
• Other duties as assigned.
Qualifications
• Holding or working toward a PhD in Statistics, Economics, Finance or other related quantitative fields
• Proficiency in statistical and econometric modeling, such as survival analysis, time series models, logistic regression, multinomial logistic regression, Monte Carlo simulation, as well as machine learning
• Hands on experience in working with large scale data sets
• Familiarity with financial mathematics, knowledge of mortgage analytics is a plus
• Proficiency in R/Python/Java or other statistical software packages.
• Ability to manage multiple tasks and deliver high quality work in a dynamic environment
• Ability to work in Uptown Dallas office
• US work authorization is required. The firm will sponsor H1B for full-time employees.
Additional Information
VWH offers competitive compensation during the internship program.
VWH Capital Management, LP is an equal opportunity employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic prohibited by applicable law.

Apply